PHENOTYPIC DETECTION OF EXTENDED SPECTRUM BETA LACTAMASES IN ESCHERICHIA COLI AND KLEBSIELLA PNEUMONIAE ISOLATED FROM PATIENTS AT THE FEDERAL TEACHING HOSPITAL GOMBE, GOMBE STATE, NIGERIA
Keywords:
Extended Spectrum Beta Lactamase, E. coli, K. pneumoniae, Urinary clinical isolatesAbstract
Klebsiella pneumoniae and Escherichia coli are the major bacterial pathogens being isolated and reported from urine samples worldwide as Extended Spectrum Beta Lactamases (ESBLs) producers. This study was conducted to determine the prevalence of ESBLs producing K. pneumoniae and E. coli from urinary clinical isolates in Federal Teaching Hospital Gombe. A total of two hundred and nine (209) bacterial isolates comprising 100 E. coli and 109 K. pneumonia were collected and recovered on MacConkey agar at 35oC. The isolates were further identified as members of Enterobacteriaceae family using conventional biochemical test. Preliminary screening for ESBL production was carried out using antibiotics disk of ceftadizime (30µg), ceftriazone (30µg) and cefpodozime (10µg) placed on to a surface of Muller-Hinton agar plates, separated from each other by a distance not less than 20mm apart, zones of growth inhibition were measured to the nearest mm. The screened isolates were further confirmed as ESBL producers using Double Disks Synergy Test (DDST). The percentage distribution of ESBL production was 54.13%, 40% and Non ESBL was 45.87% and 60% for K. pneumoniae and E. coli respectively. Majority of ESBL-producing isolates were from young patients, particularly women below 30 years of age. In conclusion, the findings of this study showed an alarming ESBL production in E. coli and K. pneumoniae was observed and recorded among patients receiving health care in FTH Gombe
References
Adebayo A.A (1999) “Vegetation and Forest” In: Adebayo A.A and Tukur A.L (1999), Adamawa State in Maps Paraclete Publishers Yola, Nigeria.
Adeniyi Olatunbosun (2010): “The Need for a Legal Regime for Sustainable ForestManagement in Nigeria” e-Journal of IUCN Academy of Environmental Law, (1).
Akinola, A. A., Oloyede, S.O., and Aborisade, D.K. (2012): “Remote Sensing and GIS Application for Forest Reserve Degradation Prediction and Monitoring” First FIG Young Surveyors Conference Knowing to create the Future Rome, Italy, 4-5 May, 2012.
Aliyi Ba, Mala Galtima and Abdullahi Tukur (2012): “Assessment of Environmental Changes in the Fufore Area of Adamawa State, Nigeria” Journal of Environmental Science, Toxicology and Food Technology (10), 20-32.
Colvocoresses, A. P (1975) Platform for remote Sensing in R. G Reeves (ed) Manual of Remote Sensing, American Society of Photogrammetry, Falls Church Virginia pp 539 – 588
Congalton, R.G and Green, K. (1999): Assessing the Accuracy of Remotely Sensed data: Principles and practice, Lewis Publishers Boca Raton.
Eklundh, L. (2003): Geographic Information Handling: metoder och Tillampningar third edition, Stockholm, Sweden.
Eniolorunda, N. B. (2010): “Assessment of Vegetation Degradation in Sokoto Northeast: A Remote Sensing Approach” Environmental issues. 3, (1), 64-73, Department of Geography and Environmental Management University of Ilorin, Nigeria.
FAO. (1999): State of the World’s Forest 1999, Rome, Italy.
FAO. (2005): Country Report-Nigeria: Scenario Analysis, Retrieved from http//www.fao.org/docrep/004/AB592E/Ab592E00.htm. GIS Centre, (2003): What is GIS? Retrieved on 12th May 2014 from: http://www.gis.lu.se/english/whatisgis.htm
Mittermeier, R. A. (2004). Madagascar and the Indian Ocean Islands. In R. A. Mittermeier, et.al. (Eds.)Hotspot Revisited: Earth’s biologically Richest and Most Threatened Terrestrial Eco-regions. CEMEX, Mexico City. Pg. 138-144.
National Population Commission (2007): Legal Notice on Publication of the Details of the Breakdown of the National and State Provisional Totals 2006 Census Pg B179.
Ojonigu Ati, Tabitha Sheyin, Innocent Abbas and Seidu Mohammed (2010): “Assessing Changes in Kagoro Forest, Kaduna State, Nigeria Using Remote Sensing and GIS” Research Journal of Applied Sciences, Engineering and Technology, 2 (4),121-132.
Saka, M. G, Jatau, D. F and Olaniyi, W.A (2013): “Status of Indigenous Tree Species in Girei Forest Reserve of Adamawa State” Journal of Research in Forestry, Wildlife and Environmental, 5 (1).
Sajjad, A., Hussain, A., Wahab, U., Adnan, S., Ali, S., Ahmad, Z. and Ali, A. (2015) Application of Remote Sensing and GIS in Forest Cover Change in Tehsil Barawal, District Dir, Pakistan. American Journal of Plant Sciences, 6, 1501-1508. http://dx.doi.org/10.4236/ajps.2015.69149
Saleh Arekhi and Ali Akbar Jafarzadeh (2012): Deforestation modeling using logistic regression and GIS Case study: Northern Ilam forests, Ilam Province, Iran African Journal of Agricultural Research Vol. 7(11), pp. 1727-1741, http://www.academicjournals.org/AJAR
Sheila Aswani Wachiye1, David Ndegwa Kuria and Douglas Musiega (2013): GIS based forest cover change and vulnerability analysis: A case study of the Nandi North forest zone journal of geography and regeional planning vol 6(5) pp 159-171 http://www.academicjournals.org/JGRP
UNEP. (2001): An Assessment of the Status of the World‘s Remaining Closed Forests, UNEP/DEWA/TR 01-2. Division of Early Warning and Assessment (DEWA), United Nations Environment Programme, P.O. Box 30552, Nairobi, Kenya.
Uyanga, J. and Felix, A. I. (2003): Essentials of Environmental Impact Assessment, Paraclete Publishers, Yola, Nigeria.
Verburg, P. and Schulp, C. (2006):”Down-Scaling of Land Use Change Scenarios to Assess the Dynamics of European Land-Scapes” Agriculture, Ecosystems and Environment, 114 (1), 39-56.
World Rain Forest Movement. (1990): Rain Forest Destruction, Causes, Effects and Poverty in Developing Countries, London.
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